Comments (6)
Sorry that it took me so long to answer!
That is definitely difficult to say.
What version of MXNet are you using? Did you make any changes in the code?
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Yeah i using another version of mxnet because when i compile mxnet with tag v0.9.3, i get error
The command i was ran:
git clone --recursive https://github.com/apache/incubator-mxnet.git mxnet1
git checkout v0.9.3
#edit config file in mxnet
git submodule update --init --recursive
make -j4 \USE_OPENCV=1 \USE_CUDA=1 \USE_CUDA_PATH=/usr/local/cuda \USE_CUDNN=1 \USE_BLAS=openblas
in image is mxnet1 because i don't want to remove version of mxnet i was compiled
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I realize that compile mxnet with cuda give me that error, i have try compile mxnet with command:
make -j4 \USE_OPENCV=1 \USE_BLAS=openblas
and it work but i can't use my gpu for train
I using Cuda version 10.1 and cudnn 7.6.5
Update i try use Cuda 9.0 but have same error
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Hmm, I think I can not help with that then, since I only tested the code with the version of MXNet showed in the README.
I suggest that you have a look at my other implementation with Chainer from the paper SEE. This should work better on newer systems, since chainer is a nicer framework.
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Oh and regarding your last screenshot: What is the actual error? I can only see warnings and that there is an error, while compiling cuddn_convolution
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I compile mxnet v0.9.3 with command: make -j4 \USE_OPENCV=1 \USE_CUDA=1 \USE_CUDA_PATH=/usr/local/cuda \USE_CUDNN=1 \USE_BLAS=openblas
and i get that error, i don't know actual error
So let me check Chainer first
Thank you very much.
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Related Issues (20)
- compiling on Windows HOT 2
- Stop Iteration exception raised while training. HOT 1
- test on dataset of my own HOT 1
- train accuracy on svhn dataset doesn't improve HOT 9
- i read the paper and have a question: what is the order of the labels? HOT 2
- no file /train/0.png HOT 4
- StopIteration HOT 12
- Install error HOT 8
- Shape error eval_svhn_model.py for SVHN demos. HOT 8
- opencv error HOT 4
- Training HOT 9
- Training does not end. HOT 9
- question about the N grids in paper HOT 3
- ctc_loss.cpp:509:10: fatal error: 'ctc.h' file not found HOT 15
- 2 details questions HOT 5
- can you just give a pretrained model to us? Or a runnable demo that no need for us to train HOT 1
- Train text recognition fail
- train original svhn datasets HOT 1
- load pretrained model error HOT 1
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